Instructions to use Imxxn/AudioCourseU6-TextToSpeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Imxxn/AudioCourseU6-TextToSpeech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Imxxn/AudioCourseU6-TextToSpeech")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Imxxn/AudioCourseU6-TextToSpeech") model = AutoModelForTextToSpectrogram.from_pretrained("Imxxn/AudioCourseU6-TextToSpeech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19ad635ce41ddecaea6e8702318940e2e731641dc5450114bf24634ffe251c41
- Size of remote file:
- 578 MB
- SHA256:
- d935c09be744f557a6d6500008615c0c35068ab98ef3dd611bcc4b90d9f38410
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